| 書目名稱 | Testing Statistical Hypotheses |
| 編輯 | E.L. Lehmann,Joseph P. Romano |
| 視頻video | http://file.papertrans.cn/904/903400/903400.mp4 |
| 概述 | Develops the foundations, principles, theory, and methods of hypothesis testing.Offers new coverage of multiple hypothesis testing, high-dimensional testing, permutation, and more.Features over 100 ne |
| 叢書名稱 | Springer Texts in Statistics |
| 圖書封面 |  |
| 描述 | .Testing Statistical Hypotheses, 4.th. Edition .updates and expands upon the classic graduate text, now a two-volume work. The first volume covers finite-sample theory, while the second volume discusses large-sample theory. A definitive resource for graduate students and researchers alike, this work grows to include new topics of current relevance. New additions include an expanded treatment of multiple hypothesis testing, a new section on extensions of the Central Limit Theorem, coverage of high-dimensional testing, expanded discussions of permutation and randomization tests, coverage of testing moment inequalities, and many new problems throughout the text.. |
| 出版日期 | Textbook 2022Latest edition |
| 關鍵詞 | Excel; Resampling; Statistical Hypotheses; Statistical Theory; best fit |
| 版次 | 4 |
| doi | https://doi.org/10.1007/978-3-030-70578-7 |
| isbn_softcover | 978-3-030-70580-0 |
| isbn_ebook | 978-3-030-70578-7Series ISSN 1431-875X Series E-ISSN 2197-4136 |
| issn_series | 1431-875X |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機版|小黑屋|
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